{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据增强"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 概述\n",
    "\n",
    "在计算机视觉任务中，数据量过小或是样本场景单一等问题都会影响模型的训练效果，用户可以通过数据增强操作对图像进行预处理，从而提升模型的泛化性。\n",
    "\n",
    "MindSpore提供了`c_transforms`模块和`py_transforms`模块供用户进行数据增强操作，用户也可以自定义函数或者算子进行数据增强。\n",
    "\n",
    "|  模块   | 实现  | 说明  |\n",
    "|  :----                             | :----  | :----           |\n",
    "| c_transforms                      | 基于C++的OpenCV实现 | 具有较高的性能。 |\n",
    "| py_transforms                     | 基于Python的PIL实现 | 该模块提供了多种图像增强功能，并提供了PIL Image和NumPy数组之间的传输方法。|\n",
    "\n",
    "MindSpore目前支持的常用数据增强算子如下表所示，更多数据增强算子参见[API文档](https://www.mindspore.cn/doc/api_python/zh-CN/master/mindspore/mindspore.dataset.vision.html)。\n",
    "\n",
    "| 模块 | 算子 | 说明 |\n",
    "| :---- | :---- | :---- |\n",
    "| c_transforms | RandomCrop | 在图像随机位置裁剪指定大小子图像。 |\n",
    "|  | RandomHorizontalFlip | 按照指定概率对图像进行水平翻转。 |\n",
    "|  | Resize | 将图像缩放到指定大小。 |\n",
    "|  | Invert | 将图像进行反相。 |\n",
    "| py_transforms | RandomCrop | 在图像随机位置裁剪指定大小子图像。 |\n",
    "|  | Resize | 将图像缩放到指定大小。 |\n",
    "|  | Invert | 将图像进行反相。 |\n",
    "|  |Compose | 将列表中的数据增强操作依次执行。 |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "> 本文档适用于CPU、GPU和Ascend环境。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## c_transforms\n",
    "\n",
    "下面将简要介绍几种常用的`c_transforms`模块数据增强算子的使用方法。\n",
    "\n",
    "### RandomCrop\n",
    "\n",
    "对输入图像进行在随机位置的裁剪。\n",
    "\n",
    "**参数说明：**\n",
    "\n",
    "- `size`：裁剪图像的尺寸。\n",
    "- `padding`：填充的像素数量。\n",
    "- `pad_if_needed`：原图小于裁剪尺寸时，是否需要填充。\n",
    "- `fill_value`：在常量填充模式时使用的填充值。\n",
    "- `padding_mode`：填充模式。\n",
    "\n",
    "下面的样例首先使用顺序采样器加载CIFAR-10数据集[1]，然后对已加载的图片进行长宽均为10的随机裁剪，最后输出裁剪前后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "下载[CIFAR-10数据集](https://www.cs.toronto.edu/~kriz/cifar-10-binary.tar.gz)并解压到指定路径，执行如下命令："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2020-12-07 18:16:42--  https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/datasets/cifar10.zip\n",
      "Resolving proxy-notebook.modelarts-dev-proxy.com (proxy-notebook.modelarts-dev-proxy.com)... 192.168.0.172\n",
      "Connecting to proxy-notebook.modelarts-dev-proxy.com (proxy-notebook.modelarts-dev-proxy.com)|192.168.0.172|:8083... connected.\n",
      "Proxy request sent, awaiting response... 200 OK\n",
      "Length: 166235630 (159M) [application/zip]\n",
      "Saving to: ‘cifar10.zip’\n",
      "\n",
      "cifar10.zip         100%[===================>] 158.53M  60.7MB/s    in 2.6s    \n",
      "\n",
      "2020-12-07 18:16:45 (60.7 MB/s) - ‘cifar10.zip’ saved [166235630/166235630]\n",
      "\n",
      "Archive:  cifar10.zip\n",
      "   creating: ./datasets/cifar10/\n",
      "   creating: ./datasets/cifar10/test/\n",
      "  inflating: ./datasets/cifar10/test/test_batch.bin  \n",
      "   creating: ./datasets/cifar10/train/\n",
      "  inflating: ./datasets/cifar10/train/batches.meta.txt  \n",
      "  inflating: ./datasets/cifar10/train/data_batch_1.bin  \n",
      "  inflating: ./datasets/cifar10/train/data_batch_2.bin  \n",
      "  inflating: ./datasets/cifar10/train/data_batch_3.bin  \n",
      "  inflating: ./datasets/cifar10/train/data_batch_4.bin  \n",
      "  inflating: ./datasets/cifar10/train/data_batch_5.bin  \n",
      "./datasets/cifar10\n",
      "├── test\n",
      "│   └── test_batch.bin\n",
      "└── train\n",
      "    ├── batches.meta.txt\n",
      "    ├── data_batch_1.bin\n",
      "    ├── data_batch_2.bin\n",
      "    ├── data_batch_3.bin\n",
      "    ├── data_batch_4.bin\n",
      "    └── data_batch_5.bin\n",
      "\n",
      "2 directories, 7 files\n"
     ]
    }
   ],
   "source": [
    "!wget -N https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/datasets/cifar10.zip\n",
    "!unzip -o cifar10.zip -d ./datasets\n",
    "!tree ./datasets/cifar10"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source image Shape : (32, 32, 3) , Source label : 6\n",
      "Cropped image Shape: (10, 10, 3) , Cropped label: 6\n",
      "------\n",
      "Source image Shape : (32, 32, 3) , Source label : 9\n",
      "Cropped image Shape: (10, 10, 3) , Cropped label: 9\n",
      "------\n",
      "Source image Shape : (32, 32, 3) , Source label : 9\n",
      "Cropped image Shape: (10, 10, 3) , Cropped label: 9\n",
      "------\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.c_transforms as c_trans\n",
    "\n",
    "ds.config.set_seed(5)\n",
    "ds.config.set_num_parallel_workers(1)\n",
    "\n",
    "DATA_DIR = \"./datasets/cifar10/train/\"\n",
    "\n",
    "sampler = ds.SequentialSampler(num_samples=3)\n",
    "dataset1 = ds.Cifar10Dataset(DATA_DIR, sampler=sampler)\n",
    "\n",
    "random_crop = c_trans.RandomCrop([10, 10])\n",
    "dataset2 = dataset1.map(operations=random_crop, input_columns=[\"image\"])\n",
    "\n",
    "image_list1, label_list1 = [], []\n",
    "image_list2, label_list2 = [], []\n",
    "for data1, data2 in zip(dataset1.create_dict_iterator(), dataset2.create_dict_iterator()):\n",
    "    image_list1.append(data1['image'])\n",
    "    label_list1.append(data1['label'])\n",
    "    print(\"Source image Shape :\", data1['image'].shape, \", Source label :\", data1['label'])\n",
    "    image_list2.append(data2['image'])\n",
    "    label_list2.append(data2['label'])\n",
    "    print(\"Cropped image Shape:\", data2['image'].shape, \", Cropped label:\", data2['label'])\n",
    "    print(\"------\")\n",
    "\n",
    "num_samples = len(image_list1) + len(image_list2)\n",
    "for i in range(num_samples):\n",
    "    if i < len(image_list1):\n",
    "        plt.subplot(2, len(image_list1), i + 1)\n",
    "        plt.imshow(image_list1[i].asnumpy())\n",
    "        plt.title(label_list1[i].asnumpy())\n",
    "    else:\n",
    "        plt.subplot(2, len(image_list2), i + 1)\n",
    "        plt.imshow(image_list2[i % len(image_list2)].asnumpy())\n",
    "        plt.title(label_list2[i % len(image_list2)].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### RandomHorizontalFlip\n",
    "\n",
    "对输入图像进行随机水平翻转。\n",
    "\n",
    "**参数说明：**\n",
    "\n",
    "- `prob`: 单张图片发生翻转的概率。\n",
    "\n",
    "下面的样例首先使用随机采样器加载CIFAR-10数据集[1]，然后对已加载的图片进行概率为0.8的随机水平翻转，最后输出翻转前后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "依照上文步骤下载CIFAR-10数据集并按要求存放。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source image Shape : (32, 32, 3) , Source label : 3\n",
      "Flipped image Shape: (32, 32, 3) , Flipped label: 3\n",
      "------\n",
      "Source image Shape : (32, 32, 3) , Source label : 3\n",
      "Flipped image Shape: (32, 32, 3) , Flipped label: 3\n",
      "------\n",
      "Source image Shape : (32, 32, 3) , Source label : 6\n",
      "Flipped image Shape: (32, 32, 3) , Flipped label: 6\n",
      "------\n",
      "Source image Shape : (32, 32, 3) , Source label : 9\n",
      "Flipped image Shape: (32, 32, 3) , Flipped label: 9\n",
      "------\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.c_transforms as c_trans\n",
    "\n",
    "ds.config.set_seed(6)\n",
    "ds.config.set_num_parallel_workers(1)\n",
    "\n",
    "DATA_DIR = \"./datasets/cifar10/train/\"\n",
    "\n",
    "sampler = ds.RandomSampler(num_samples=4)\n",
    "dataset1 = ds.Cifar10Dataset(DATA_DIR, sampler=sampler)\n",
    "\n",
    "random_horizontal_flip = c_trans.RandomHorizontalFlip(prob=0.8)\n",
    "dataset2 = dataset1.map(operations=random_horizontal_flip, input_columns=[\"image\"])\n",
    "\n",
    "image_list1, label_list1 = [], []\n",
    "image_list2, label_list2 = [], []\n",
    "for data1, data2 in zip(dataset1.create_dict_iterator(), dataset2.create_dict_iterator()):\n",
    "    image_list1.append(data1['image'])\n",
    "    label_list1.append(data1['label'])\n",
    "    print(\"Source image Shape :\", data1['image'].shape, \", Source label :\", data1['label'])\n",
    "    image_list2.append(data2['image'])\n",
    "    label_list2.append(data2['label'])\n",
    "    print(\"Flipped image Shape:\", data2['image'].shape, \", Flipped label:\", data2['label'])\n",
    "    print(\"------\")\n",
    "\n",
    "num_samples = len(image_list1) + len(image_list2)\n",
    "for i in range(num_samples):\n",
    "    if i < len(image_list1):\n",
    "        plt.subplot(2, len(image_list1), i + 1)\n",
    "        plt.imshow(image_list1[i].asnumpy())\n",
    "        plt.title(label_list1[i].asnumpy())\n",
    "    else:\n",
    "        plt.subplot(2, len(image_list2), i + 1)\n",
    "        plt.imshow(image_list2[i % len(image_list2)].asnumpy())\n",
    "        plt.title(label_list2[i % len(image_list2)].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resize\n",
    "\n",
    "对输入图像进行缩放。\n",
    "\n",
    "**参数说明：**\n",
    "\n",
    "- `self`：缩放的目标大小。\n",
    "- `interpolation`：缩放时采用的插值方式。\n",
    "\n",
    "下面的样例首先加载MNIST数据集[2]，然后将已加载的图片缩放至(101, 101)大小，最后输出缩放前后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "下载MNIST数据集并解压，存放在`./datasets/MNIST_data/`路径，执行如下命令："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2020-12-07 18:17:03--  https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/datasets/MNIST_Data.zip\n",
      "Resolving proxy-notebook.modelarts-dev-proxy.com (proxy-notebook.modelarts-dev-proxy.com)... 192.168.0.172\n",
      "Connecting to proxy-notebook.modelarts-dev-proxy.com (proxy-notebook.modelarts-dev-proxy.com)|192.168.0.172|:8083... connected.\n",
      "Proxy request sent, awaiting response... 200 OK\n",
      "Length: 10754903 (10M) [application/zip]\n",
      "Saving to: ‘MNIST_Data.zip’\n",
      "\n",
      "MNIST_Data.zip      100%[===================>]  10.26M  --.-KB/s    in 0.1s    \n",
      "\n",
      "2020-12-07 18:17:03 (69.6 MB/s) - ‘MNIST_Data.zip’ saved [10754903/10754903]\n",
      "\n",
      "Archive:  MNIST_Data.zip\n",
      "   creating: ./datasets/MNIST_Data/test/\n",
      "  inflating: ./datasets/MNIST_Data/test/t10k-images-idx3-ubyte  \n",
      "  inflating: ./datasets/MNIST_Data/test/t10k-labels-idx1-ubyte  \n",
      "   creating: ./datasets/MNIST_Data/train/\n",
      "  inflating: ./datasets/MNIST_Data/train/train-images-idx3-ubyte  \n",
      "  inflating: ./datasets/MNIST_Data/train/train-labels-idx1-ubyte  \n",
      "./datasets/MNIST_Data/\n",
      "├── test\n",
      "│   ├── t10k-images-idx3-ubyte\n",
      "│   └── t10k-labels-idx1-ubyte\n",
      "└── train\n",
      "    ├── train-images-idx3-ubyte\n",
      "    └── train-labels-idx1-ubyte\n",
      "\n",
      "2 directories, 4 files\n"
     ]
    }
   ],
   "source": [
    "!wget -N https://obs.dualstack.cn-north-4.myhuaweicloud.com/mindspore-website/notebook/datasets/MNIST_Data.zip\n",
    "!unzip -o MNIST_Data.zip -d ./datasets\n",
    "!tree ./datasets/MNIST_Data/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source image Shape : (28, 28, 1) , Source label : 5\n",
      "Flipped image Shape: (101, 101, 1) , Flipped label: 5\n",
      "------\n",
      "Source image Shape : (28, 28, 1) , Source label : 0\n",
      "Flipped image Shape: (101, 101, 1) , Flipped label: 0\n",
      "------\n",
      "Source image Shape : (28, 28, 1) , Source label : 4\n",
      "Flipped image Shape: (101, 101, 1) , Flipped label: 4\n",
      "------\n",
      "Source image Shape : (28, 28, 1) , Source label : 1\n",
      "Flipped image Shape: (101, 101, 1) , Flipped label: 1\n",
      "------\n"
     ]
    },
    {
     "data": {
      "image/png": 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v6enp4d133+XixYtBtCwwxMxK4JXQ2dnJ73//e3Jzc6msrMRsNi/4vNTUVLZu3brojL/FYuHq1atMTEwE09yoorOzk2vXri141WO322lra1t2AljhP8nJyVRVVS0a4qmrq1tyUWNvby8tLS0MDAzQ0dER0WGMSCRaymbEnQOQUnL8+HFaW1vJz8/nu9/9Lo8++uiCzzWbzXz7299edDLyxIkTfP/736elpSWYJkcNHm3/8R//8Y50Tc/jQ0NDYa9/Eg942u5i+/smJSUtuUfD6dOn+Yd/+Ae6uroYHBxUDiBGiTsHADMLuEZGRhgfH2dgYACr1YpWq0Wv18+72jcYDBQXFy/6Pn19faSlpZGYmIjT6Yzbjk1KicPhwOl00tfXR3NzM0NDQ+E2K+rR6XTodLpV5emnpaVRWlq66g1exsbGuHbtWiRlwIUUvV7vLW7o6wI+zzlgs9mixmHGpQPwMDExwW9+8xva29tZt24dBw4cWNFOYmvWrOGb3/wm3d3dHD16lCNHjkTcUu9Q0N/fz3vvvceNGzc4d+7caksxKOag1+vZs2cPu3btWlVtpZycHEpLSwNvWByQkpLC/fffT11dHWVlZT4lPUxNTXH48GHOnj3L9evXo6Zsdlw7gMnJSW8Bufvvv59t27atyAGUlJTwjW98g+npaTQaDcePH49bB/Dqq69y5MgRXC5X3I6EAoler2fv3r185zvfWVUqskajCenirlgiOTmZhx9+mKeeegqtVuuTjlNTU7z//vu8/PLLURUNiPsW4umwLRYLLS0tSCnJzs4mOzt72aG3pw6+EAKz2cyGDRsYHR2lt7c3JiaGPUXMzGYz6enpiz7PU+vcZrOF0LroJysri/Xr1zM+Pn7HY0ajkfz8fIxGY0CL7C2F3W6nt7eXsbExOjs74+5ixmQykZubS35+PtnZ2QsuFL2dkZERb/HIgYGBeeVjooG4dwAerl69yve//31MJhNf+cpXePLJJ30+8XQ6HQ888ACVlZXcvHmTn/zkJ5w+fTrIFgcXIQS7d+/m61//OtnZ2VRUVITbpJhCo9Gwe/duCgoKFrxa1Gq1lJaWhvQqvr+/n3/5l3/h5MmT9Pb2xtX2j0IIduzYwTe/+U1ycnJ8bu+fffYZP/vZz+jt7eX69etR1fmDcgBeLBYLJ06cIDExkR07duByuXx2AEIISktLKS0tpaWlhV/+8pdBtjb4CCEoKipi7969mEymcJsD4HMRrkhiqQ6hqKiIoqKiEFqzNFNTU5w/f54PP/ww3KaEhaKiIvbs2bOihY49PT188skn9PX1BdGy4KEcwG24XC7OnTvHK6+8Qk5ODg0NDRQUFITbrLjDbDbT0NAwz/nk5+dHVRGu9vZ2fvWrX1FQUEBdXR0bN24MmAPz7CblKVfuC4mJiWzdulWN5hRelAO4DYfDwaFDhzh27BhVVVX87d/+rXIAYaC8vJznn3+eDRs2eI/pdLp5m8FEOpcvX+aHP/wh6enp/MVf/AVVVVUBC+mMj4/zy1/+ktdff93n12RlZfG9732PdevWRd1IShEclANYgMnJSSYnJzGZTN7JHQ8ajYbk5ORFJ4i0Wi3p6enk5OQwPT3N5ORk1KwKXCkTExNYrdaA7XQkhCAlJYXExERycnLIy8tbcrESzIRYJicnsVqtDA8PR1T2hc1mw2azYbVa6evrY2BgIGAOwLPT1EpCD263W6Xo3oZWqyU1NZWEhARSUlJ8yvl3uVxMTExgs9kYGxuL6vNbOYAl6Ovr42c/+xnvvfee91haWhpPPPEEu3fvXvA1OTk5fOMb3+D+++/nxIkTvP7664yMjITI4tBht9v54IMPOHjwIP39/QHZ7SglJYUnnniCu+++m8LCQvLz85d9zeTkJG+++SYff/wxvb29EblwyWaz8d5773Hz5s2AXXlPT09z7ty5gLxXPGM2m3nqqaeoqqqioqLCpzLPfX19vPrqq1y+fJnW1tYFs7iiBeUAlmBkZISDBw/OO2lzcnLYvHkzd99994Inc1paGg888ABSSgwGA++++25MOgDPZjsvv/xywNI/ExMT2bVrF9/4xjd8Xn1pt9s5fvw4L730UsTWGHI6nZw8eZJTp04F9H2jLeMkEsnMzOQLX/gCe/fu9dk5e/qFw4cPR/1voBzAbWg0GkpKSigtLV2wQWRkZCxaPG4uId5uL2wE4gQwm82Ul5eTk5NDQUHBoppZrVZaWlrmlZkYHx+ns7MzKobh0d5ZxCorzS7ztLVY+D2VA7gNvV7PF77wBf74j/94wY0fdDod+fn5Md+xh5KGhgaef/558vLyltS2v7+fn/70p3zyySfeY263m97e3pg4GRWKUBP3DkCn080LNyQmJlJUVMTmzZuX3flnIaSUuFwuXC4XDodDdUyL4NlYXqPRkJubS3V1Nbm5uQs+16Pn+Pg4169fn7dRvEIRKuae19Ew4vSFuHYAycnJ3HfffWzcuNHrBHQ6HTt37lxVAS6A4eFhDh06RGtrKxcvXoyJkhDBICsri/vvv5+ysjLq6+tJSkpa8Hkul4vjx49z7Ngxenp6VpT3rlAECqfTybFjxzh+/Djd3d3cvHkz3CYFhFU7ACFEMfDvQB4ggRellP8khMgEfgGUAjeBL0kph/03NfCkpKTwyCOP8NRTT80LO3hKwa6GoaEhXnvtNQ4ePOi9WggQuQDRpO9SZGdn89RTT3Hfffeh1WoXLXjmcrk4duwYf//3f8/k5GSwtteLKW0jkWjX1ul0cuTIEX70ox9htVojepvHleDPCMAJ/LmU8qwQIhU4I4Q4BHwd+FBK+QMhxAvAC8Bf+W+qfyQkJJCbmzvvSjMnJ4ecnJxFrz59RUqJxWJhaGiI69evMzg4GIx861whRDURoq8QgpycHCorK1fl5NatW0dmZiZGo3HZ59rtdqxWazA3ko8obWOQRGa0jAhthRBkZWWRmZnJ2rVrfT7/HQ5HsNthyFm1A5BS9gA9s/fHhRBXgELgMWY2igd4GfiICDiJzGYz3/rWt9i8ebP3WEJCwqo3zJiLy+Xi8OHDvPbaa95tIoOAlQjS12Aw8NBDD1FdXb2qeGhqairr168PgmWrIqK0jUEMRJC2nrb7xBNPYDKZKC8vD4cZEUFA5gCEEKXAFuAzIG/WOQD0MhMiCjvp6els376dvXv3Bvy9XS4Xra2tfPDBB0xNTQX8/WdJIoL01Wq1VFZWUllZGdTPCdEkekRpG4NMAGWRoq1Op2P9+vXs379/VXstxBJ+OwAhRArwK+B5KeXY3Fi6lFIKIRY8g4UQzwLP+vv5C1FYWEh9ff28Ta9LS0uXLSuwUvr6+jhz5gwDAwNcvHgx2GUIOnzVN5jaBhObzcb58+fnTfQ6HI6I0haiV98wMm+IGO5+ITs7e17iRzzjlwMQQuiZ6fz/j5TyjdnDfUIIs5SyRwhhBvoXeq2U8kXgxdn3Cehl3oYNG/jLv/xLysrKvMf0ev2Sm5qshtbWVn70ox/R1NTExMREsDfQGJn9u6y+wdQ2mExMTPD666/z2muvea/8pZQRpe2sTVGpb5gJu7aefqG8vJzU1FS1Yxr+ZQEJ4F+BK1LKH8156G3ga8APZv++5ZeFy5CQkEBSUtI8b+5ZURrIKp42m42pqal58e7BwUF6enro6elZ4pUBJ6T6BguXy8XU1NS8bIrBwUH6+vro7u4O1/qJmNA2Qgm7tomJieTl5S27kt9TYNBut3vboaeoX6yt6/HHBe4CvgpcEkKcnz32fzHzA/9SCPEnwC3gS35ZuASeXXweffTReTP5a9asISsrK6CfdfbsWX79618zNjbmPdbV1UVvb29AP2cJqoUQDxJCfYNJf38/r7/+OleuXPEe89S4D8NJFlPaRiDpRJG24+PjvPnmm5w4ccJ7zOVycfbs2YiqNhsI/MkC+hRYrB7Cfat935UghKC6upqvfe1r8zYOCcbOUc3Nzbzyyivzyu9KKUPZWTVJKT1lSUOibzAZHh7m3Xff5fDhw95jIdZzLjGlbQQyKqUcIkq0nZqa4ve//z2vvPLKvONhbJ9BI2qCYFqtluLiYgoLC72du0ajoaKiAoPBELAJHbfbTWdn57wCY1JKWlpamJ6ejpkl4MshpaS7u5vjx4+TnZ3N2rVrycnJ8es952rb1taGxWKJGz0V0YXb7Y6Lthk1DiAhIYEvfvGLPPXUU94yDUIIsrOz/V7INRen08l7773HSy+9NK/MscViieq63ytFSsknn3xCa2srhYWFPP/88xw4cMCv95yr7ejoaETW7lco4omocQAajYbCwkLq6uoCOnvvcrnmeXqbzUZnZyfnz58PWJ37aGVwcJDBwUGGh4cZHBz0OxNHaatQRBZR4wCCwcTEBB999BFNTU3eY3a7nRMnTkTs5iLhYGJigvfee4/u7m6/3kdpq1BEFnHtACYnJ3n77bd59dVXvceklDgcjpib7feHsbEx3njjDd555x2/3kdpq1BEFlHjAKSUDA0N0dbWFrAQ0MDAAAMDA6pk8zJIKb0bnCuiF5fLRX9/P21tbQtmybW3twezlEnYmZycpL29fdmEkYGBgbiZ7xORkNbky4o/rVbL+vXrKSsrC1iKp81mo6mpic7OzoC8X5A5I6W8a6UvUitVfWJV2kJ06WswGNiwYQMlJSULPj4xMcHly5fp719wka4/RETbzcvLo7q6el6JmIWIh37BQ9Q4AEVknEQxSlw4gDCi2m7w8MsBqGpICoVCEacoB6BQKBRxinIACoVCEacoB6BQKBRxinIACoVCEacoB6BQKBRxSqQsBBsEJmf/xgrZBPb7rFnl6waZqb8eaHvCTSC/z2q1BdV2fcGftqu0XRp/2m5krAMAEEKc9iefNdKItO8Tafb4SyR9n0iyJRBE0veJJFsCQaR9HxUCUigUijhFOQCFQqGIUyLJAbwYbgMCTKR9n0izx18i6ftEki2BIJK+TyTZEggi6vtEzByAQqFQKEJLJI0AFAqFQhFClANQKBSKOCUiHIAQ4oAQolkIcU0I8UK47VkpQohiIcTvhRBNQojLQojvzB7PFEIcEkK0zv41hcE2pW1w7YtafZW2wSXS9QVmdnsK5w3QAm1AGWAALgDV4bZrhd/BDNTP3k8FWoBq4O+BF2aPvwD8L6VtbGgbC/oqbeNXX88tEkYADcA1KeV1KaUdeA14LMw2rQgpZY+U8uzs/XHgClDIzPd4efZpLwOPh9g0pW1wiWp9lbbBJcL1BSIjBFQIdMz5v3P2WFQihCgFtgCfAXlSyp7Zh3qBvBCbo7QNLjGjr9I2uESgvkBkOICYQQiRAvwKeF5KOTb3MTkz3lM5t6tEaRs8lLbBJZL1jQQH0AUUz/m/aPZYVCGE0DPzI/8fKeUbs4f7hBDm2cfNQMB3214GpW1wiXp9lbbBJYL1BSLDAZwCKoQQa4UQBuBJ4O0w27QihBAC+FfgipTyR3Meehv42uz9rwFvhdg0pW1wiWp9lbbBJcL1nSHcM+WzM+EPMjND3gZ8L9z2rML+u5kZxl0Ezs/eHgSygA+BVuAwkKm0jR1to11fpW186yulVKUgFAqFIl6JhBCQQqFQKMKAcgAKhUIRpygHoFAoFHGKcgAKhUIRpygHoFAoFHGKcgAKhUIRpygHoFAoFHGKcgAKhUIRpygHoFAoFHGKcgAKhUIRpygHoFAoFHGKcgAKhUIRpygHoFAoFHGKcgAKhUIRpygHoFAoFHGKcgC3IYT4SAgxLYSYmL01h9umWEEIkSmEeFMIMSmEuCWEeCrcNsUaQoiK2fb7H+G2JVYQQjwnhDgthLAJIV4Ktz2BRBduAyKU56SUPwu3ETHITwA7kAfUAe8KIS5IKS+H1arY4ifMbKeoCBzdwN8B+wFjmG0JKGoEoAgJQohk4Angf0gpJ6SUnzKzN+pXw2tZ7CCEeBIYYWa7QUWAkFK+IaX8NTAUblsCjXIAC/N9IcSgEOKoEOKecBsTI1QCTilly5xjF4CNYbInphBCpAF/A/z3cNuiiB6UA7iTvwLKgELgReAdIUR5eE2KCVKAsduOjQKpYbAlFvlb4F+llJ3hNkQRPSgHcBtSys+klONSSpuU8mXgKPBguO2KASaAtNuOpQHjYbAlphBC1AH7gP8dZlMUUYaaBF4eCYhwGxEDtAA6IUSFlLJ19lgtoCaA/eceoBRoF0LAzGhLK4SollLWh9EuRYSjRgBzEEJkCCH2CyEShRA6IcTTwB7gt+G2LdqRUk4CbwB/I4RIFkLsAh4DXgmvZTHBi0A5M5lVdcC/AO8yk7Wi8JPZviAR0DLjWBOFEDFx8awcwHz0zKR7DQCDwH8DHr9t4lKxer7NTBpdP/Aq8C2VAuo/UsopKWWv58ZMuG1aSjkQbttihL8GrMALwDOz9/86rBYFCCGlDLcNCoVCoQgDagSgUCgUcUpQHIAQ4oAQolkIcU0I8UIwPiOeUfoGD6Vt8FDaRh4BDwEJIbTMZHzcD3Qysyz9K1LKpoB+UJyi9A0eStvgobSNTIIxAmgArkkpr0sp7cBrzGR7KAKD0jd4KG2Dh9I2AglGKlMh0DHn/05g++1PEkI8Czw7++/WINgRawxKKXPwQV+l7YrxWVtQ+q6CQeBbKG2Dgaftroqw5bJKKV9kJn8ZIYRKRVqeW74+UWm7YnzWFpS+q0C13eCxorZ7O8EIAXUBxXP+L5o9pggMSt/gobQNHkrbCCQYDuAUUCGEWCuEMABPMlP2VxEYlL7BQ2kbPJS2EUjAQ0BSSqcQ4jngIDNLp3+uVnsGDqVv8FDaBg+lbWQSESuBVazPJ85IKe9a6YuUtj6xKm1B6esjqu0Gj1W3XVArgRUKhSJuUQ5AoVAo4hTlABQKhSJOiYma1orow2g0kpGRQXJyMhrN8tchbreb6elpRkdHmZycxO12h8BKhSK2UQ5AEXK0Wi1ms5nt27dTVVVFQkLCsq9xuVy0t7dz4sQJrl69is1mC4GlCkVsE9cOQAiBTqdDo9Ewu5VeyJBS4nK5cLlcREImVigQQqDVaklMTKS4uJh77rmHPXv2kJycvOxrnU4nZ8+epbe3l+vXrysHEAQ0Gg1arXbB80FKidvtxuVyqdHXMmg0Gm+/shQePV0uV4gsu5O4dgApKSkUFxeTl5fn01VoIJmenqa7u5vOzk6mpqZC+tnhIjExkcLCQtasWcNdd91FVVUVa9aswWg0Lvtap9NJZ2cnSUlJIXfW8YAQgvT0dEpKSsjJyUGnm981uFwuBgYG6OzsxGKxKCewCFqtluzsbIqLi8nMzFzSCUxMTNDR0UFPTw92uz2EVv4Xce0AsrKy2Lt3Lzt37iQ9PT2knz0wMMDHH3/M+Ph43DiAtLQ07rrrLvbt28eGDRsoLS1Fr9eH2ywFM1etZrOZffv2sXXr1jtGZdPT05w/f57333+f0dFR5QAWQa/XU15ezoEDB6iurl6yfbe3t/PBBx8wNjamHECgEEKQmJhIUlISBoNhyeetXbuW+vp67rnnHrKyskJoJXR0dNDV1cWxY8dC+rmhRghBQkICycnJFBcXU1tby913382aNWvQ6/VotVqf38tgMJCRkYHZbPZ2UE6nk6mpKaxWa8R2SlqtlqSkJIxGo/f7ut1urFYrU1NTOJ3OMFs48ztlZGSwadMm7rnnnjsuiCYnJ5FScurUKZ8m7eMNnU5HcnIyWVlZrF+/nh07drBt27Yl+6ArV67Q1NQU8ujDXGLOARgMBtasWUNNTQ1ms3nJxlpQUEB1dTUmk4mkpKQQWonXQcV6OEOv11NSUkJNTQ2bN29my5Yt5OTkkJiYuKL30Wg05OTksHPnTjIyMpiengZgaGiIixcv0trayuTkZDC+gt+kpqayadMmqqqqSE1NBWaG/y0tLVy6dAmLxRJmC2fQaDQkJCSQlJR0x/ngdrtJSEhAq9XGfJtdDenp6d42Xl9fT2lpKampqUte4BiNxrD3ATHnABISEli3bh2PPPIItbW1d8Qyb3+uyWTyKQYdaKSUMTv5O7dBGwwGysvLefjhh2loaCA7O9vbCa4EjUZDfn4+n//852loaPBe7V+7dg0pJV1dXRHrANLT09m2bRsPP/wwZrMZgP7+ft5//306OjoiwgEIIXy6sled/8KYTCY+97nPceDAAUpLS8nIyIiKkVLMOICkpCTv5EtdXR2bNm2iurp6RSGGYON2uxkbG2NwcJDW1la6u7tjKptFp9ORmZlJdna216kmJydTW1vLpk2bqKioWNIhL8dCV6ZSSjIzM/1632Cj1+vJzc2loqKC4uKZisgZGRmcPXt2yRBBKDAYDGRlZZGbm0tlZSUmk2nJcyZWL1r8JTExkfz8fCoqKsjLywu3OT4TuWfNCsnOzmbv3r3s2LGDDRs2kJ+fH3Ee2Ol0cvPmTT7++GPOnj1LU1MTo6Oj4TYrYCQlJbFx40b27t1LQUEBMNPBFBcXU1BQEHG/h2ImPFVfX8/dd9/Nxo0bqaioCLtTUoSOmHAAQghMJhNbtmzh/vvvJz8/H6PRGPThqsPhwGaz+ZzHOzU1xbVr1/j44485fvw4Y2Nj3lh2LJCQkEB5eTn33nsv1dXVwMxvo9frSUxMVA4gAklKSqKqqop9+/ZRUVFBYmLivMwVt9uN3W5nYmLCO2GtRgEzeNq2wWAgJSUl7PH81RATDgBmMi1SUlLIzMxcVYx5pTidTnp7e2ltbaW/v9+byaHRaOZlo8z9326309jYSFtbG0NDQzgcjqDbGUo0Gg1GoxGTyRTyrCrF6pj7my2UCj0+Ps61a9doaWnh9OnTDAwMRGy2VajxjG4rKiqoqamhtLQ0rBk9qyFmHECoPa/D4eD69eu88847XLhwwafO3O12Y7FY6Ovri4jUP4ViOYaHhzl27BiHDh2itbVVtd05GI1GNm3axGOPPebNOgx1NqG/xIwDsNlsDAwMcOvWLZxOJ+np6StONbwdq9XK2NgYNpuNpKQk0tLSvPFRl8vF0NAQV65c4eTJkz5P5nqW1MfKMNqz7sKzijQ7O1vFkGMIq9XKjRs3OH/+PN3d3THVdleL0WgkLS2N4uJiNm3a5F3VvlSKrKeQ4dTUlHcE1d7ezujoaFgdakw4ACklg4ODfPrpp0xMTLBlyxYaGhooLi5eddzZ7XbT29vLyZMn6erqoqKigm3btpGfnz/vc51OJw6HI26vijQaDQUFBTQ0NFBXV0dtbS0mkyncZkUc0RYb9uC5YHE6nWGtWRMpaDQa8vLy2L59O3V1ddTV1S1YOmMuc/uSlpYW77zfwMAATU1NWK3WUJl/BzHhAAAsFgufffYZN27cYHx8HLPZTE5Ojnfxiq94GrzVaqW9vZ2PPvqIxsZGdu/eTUlJCSaTCSEENpsNh8MRt/FQT9640WikpKSEz3/+8+zdu5ecnBxSUlL8fn9Poay5V5ueYnJznbqnoJ/BYECn0+F2uyPmN/EUV0tISAhLwUFF4NFqteTn57Nnzx7uvfdecnNzF51z9PQlNpuNzs5Ojhw5wkcffcT4+DgwE0aemJhQDiAQ2O12LBYLNpuNy5cvc+rUKVwuFyUlJZjNZp/DQTabje7ubtrb2zl16hRNTU20tbVhMplYs2YN/f39wMzQuKmpieHh4bgcEicmJlJQUEBJSQkNDQ1s2LCB4uLigCyq84TXOjs7GR4exu12o9FoSE9Pp6ioiOzsbO8VV1JSEuXl5Wzbto2MjIx5rwknOp2OnJwcCgsL2bhxIyUlJVE3QahYGKPRSHZ2NoWFhUsmnHj6ko6ODs6cOUNTUxM3b96MqAWLMeMAPNhsNq5du8avf/1rWltbuffee9m7d6/PDmBsbIxTp07xu9/9jqamJm7cuMHY2BiXL19mamqKtLQ0YKaT6uvro6urKy6Hxunp6TQ0NPD5z3+eDRs2UFZWFrDYv2eC/eDBgzQ1NeFwONDpdKxfv579+/eTlpbmdQCZmZns2rWL/Px8PvvsMw4ePMjY2FjYHUBCQgLr16/ngQceYMuWLZSVlQVkZKSIHsbHxzlz5oy3L4nEMuYx5wCcTic9PT0MDg4yODhIdnY2ZWVl3g5Bo9GQmJiI0WhcMG5nt9vp6+ujubmZGzduMDIygtVq9ZZt9YSTPPX84ykM5CnslpSURElJCXV1dezdu5fi4mIMBsOyoTaXy4XVamV6enpJpzk5OcnVq1c5duwYp0+fxm63o9PpGB0dpaamZt58S3JyMuvXr8dsNmOz2Thz5kxErDfQ6/WYzWYaGhpoaGggMTExYlYrCyEwGAze1fOpqakRY1uk4tnHIj09nczMTBITE5cN6VmtVq5fv86nn35KW1tbRM4VxuSv7nQ6cTqd9Pf3c/bsWbRaLZmZmcBMyKCiooJNmzZ5j83FaDRSUVHBnj17yMzM5NKlS9y6dQuHwxFzefsrxVPYbfPmzWzatIna2lpycnJ8DvtMTk5y5coVrl69ytjY2KLPs9lsNDU1cevWLUZHR3G5XOh0ugUXInkKmBmNRhITEyOqWJler/eWr4ikkiQ6nY6ioiLv71hdXe3TpjzxTHJyMlVVVWzcuJEtW7ZQXFy8bClzKSUOhwOr1RrWOP9SxKQD8OAJ57S2tnp/rOzsbPbv34/ZbF7QAaSlpbF161aKi4spLS1lamqKnp6euO/8YSasUVFRwaOPPsq2bdvIzs5eUVhjbGyMM2fO8Pbbb9PZ2bno81wuF5OTk2rjkSCh1+spKyvjoYceYseOHeTm5npDm4sRj/Ncc0lNTWXr1q08/vjjVFZWkpmZ6dNeFpGuW0w7ALvdTn9/v3fiFiAvL4+amppFY3Gewl0mk4mBgQHS09MjIqQQTuZOenlK3lZWVq74qtbhcNDf309zczM3b94MjrGKZdFoNKSlpVFaWkpFRYVPk9ORMqoKJR6dsrKyqKyspLa2lurqaoqKihZ9jdvtZnx83FvwsaenJ+Li/nOJaQegCAw5OTns3r2bhoYGNm7cuOw+CwpFLOApZb5nzx62bNlCdXX1sjsHehIYjhw5wrlz57h8+fKS4c5wE3cOQErpLW41MTFBQkICOp1uwSscrVaL0WhcNNXL6XRit9tjOgvIs1NUfX09Bw4cWLLQnmdhnM1mW3DoOzExsehjisCi1Wq9ayNuJyUlxZsEsdzvODk5id1uj8tQnGeuZM+ePezYsYO0tLRlswkdDgddXV188sknHDt2LOILPvrlAIQQN4FxwAU4pZR3CSEygV8ApcBN4EtSymH/zAwcNpuNW7du8emnnzI6Osq6desoKiq6YxgshCAzM5O6ujqEEHdM4niyhdra2kJVIGvDrF0h11ev15OamkpWVtaSsWKbzUZHRwdtbW0Llrnu7+/n2rVrkbgHcti0DQZCCLKysigrK8NsNt+RnpuYmEhtbS3Z2dkLjuQcDgednZ1cu3aNxsZGbt686XcYIxq19ZQ5ycjIICsry+f9q202GyMjIwwNDYVtr19fCcQI4PNSysE5/78AfCil/IEQ4oXZ//8qAJ8TEKxWK5cuXWJwcJDm5mYeeeQRsrKy7nAAWq2WoqIiHnjgAe6666470resVisnT57k7bffDtVk5ZXZvyHX19cr9qmpKS5dusRvfvMbbty4ccfj09PT9PT0eFdCRhBh0zYYaLVaCgoK2L9/Pw0NDXcUKNNqtZhMJgoLCxecx/Escnz77be5cOECXV1dgXDaMaFtrBGMENBjwD2z918GPiKCfmi73U5PTw/9/f3Y7XbWrl1LUVERRUVF84Z4QgjS09NJTU1dsHOfnJzE5XLR2trK6OgoFouF8fHxUOT5hlzfpSYApZRMT08zPj5Oe3s7jY2N3ponC+FyuSI5nBAxbVen05GamkpKSsqKJ9sNBgNVVVXU19ezc+fOBTO1PGU1FvptnU4nfX19XLhwgfPnz+N0OgPxm0WMtsthMBhIS0sjNzeX3NxcnxaR2u12xsfH6e/vp6+vj+np6agIdfrrACTwgRBCAj+VUr4I5Ekpe2Yf7wUW3B9NCPEs8Kyfn78qPPVi+vr6OHbsGFNTU9TW1rJt2zZKSkq8w2LPSbLQCegpQeBJKT1z5gznz59neDhoo9rs2b/L6htKbd1uNz09PZw6dYoLFy5w7tw5BgYGoi1t1mdtITT6pqWlUVtbS21tLRkZGSt6rVarpaSkhLKyMpKSknwOXXjwLHL0FDoMUEcWMdouR2ZmJlu3bmXLli3U1taSn5+/rBMeGRnhzJkznDt3jvPnz9PT0xPJFzpe/HUAd0spu4QQucAhIcTVuQ9KKeWsc7iDWWfxIsBizwk2w8PDnDhxgra2NiwWC2az2evxl8ty0ev1rFmzBpPJxNq1a4GZ8q7j4+PBKkiWK4TYM/fAYvoGSluNRoNOp0On0y16ArhcLrq7u/noo4/46KOP6O/vj8QQz3L4rO3sYwHT12AwLNhBZ2Zmsm3bNh555BEKCwtX9L6e2LVnlypf8RQvczgcgR6pzRuCRGq/4Cnel5uby65du9i/f783MrBYf+A51/v7+zl+/DjvvfceHR0djI2NRUVyiF8OQErZNfu3XwjxJtAA9AkhzFLKHiGEGehf8k3CiN1uZ2hoCKvVypUrVzh16hRSSoqLi8nPz19y6CeE8K7yFEJQU1NDV1cXqampdHd3MzQ0FOgGMEII9TUYDOTm5lJYWEhdXR25ubkLdlSeEFBfXx8dHR0RVehqBYwQ4rZrMBgoLCykvr5+wd3TCgsL2bx5c8g2GZdSMjY2RldXF9evX6e1tZWJiYlAXf0nE+H9gsFg8Bbvq62tZdOmTZSVlS05+nI4HAwMDNDV1cWlS5dobGzk+vXrwYwCBJxVOwAhRDKgkVKOz95/APgb4G3ga8APZv++FQhDg4ndbqetrY23336b1tZWb2ljXwvIpaamctddd5GRkcHZs2c5dOgQ4+PjgV7+nQY0EiJ9k5KSqK2tZd++fWzatIny8vIF9YiRBUIh1RZmSgvU1NSQkpKy4IgpOTmZtWvXhmR7U5i5ku3u7ubw4cMcP36c1tZWBgcHl3+hb1iJ8H7BaDSyefNm9u3bR01NDWVlZcuWOLFarTQ2NnLo0CEuXbpEW1tbJGa4LYk/I4A84M3ZDkAH/H9Syt8KIU4BvxRC/AlwC/iS/2YGF08BuaGhIXp7e8nKymLdunUYDAaMRuOymz0bjUbKy8sxm83o9XoaGxvR6/WBdgAjodQ3MTGR0tJSdu3axYYNG7zrJW4nGBNdnmJlRqMRvV7vrfmfmZlJQkJCMJxOwLX1jIyGh4cZGhoiJSVlXmgxISGB0tJSCgoKFtTQo8Fi8Xun04nVasVms/kcqtHpdN6aSbdrKKVkeHiY8+fPc+TIESwWSyBTGMeY6fgjtl9ISEhgzZo13H333WzcuHHR9j4Xm81Ge3s7x44d48KFC9jt9ogr9rYcq3YAUsrrQO0Cx4eA+/wxKhx4CsgNDAxw7tw5736fnlruS02keU5WjUZDcnLyiifdfKQXQqev5zulpKSEvIyxTqfz1tE3m83eifi1a9cu+1uskoBr63A4uHXrFr///e+xWCxs3LiRiooKr5YefVdbQntkZMRbYtjXC43MzEyqq6tZt27dgle3LpeL6elpJiYmAr54KdL7Bc/vkZyc7HN79xR7m5ycjNbQZ/ytBF6O8fFxTp8+za1bt9ixYweJiYnk5eUFq1NXLICnWNnDDz9MfX29dxSQnJy84JqNSMRms9HS0sLQ0BDNzc08/vjjFBQUBMyZDg0NceTIET788EOfY87r1q3jiSeeoKCgICAb9ygiv9jbcigHcBueFb4Wi4WkpCSqqqpIS0vznrgJCQneFbG3DxE9nVRxcTGVlZXesFIkLwVfLXa7neHhYfr7+72b5vibNZKQkEBmZiYFBQVs3ryZmpoaampqlrxKttlsWCwWent752VhhRuXy8Xw8DDDw8M4HA7Ky8spKSlhYGDA7/eWUtLc3MylS5e4ePEiFovFZ5uGhoaiLkwRLDzna2Zmpjcct9y8n5SSyclJhoeHuXnzJt3d3RFb6tkXlANYBJfLRVdXF4cOHaKlpcXbCRUUFLBr1y62bNlyxwSdRqMhPz+f++67j/z8fE6ePMnRo0fp6OgIx1cIKp5S2ydOnPCWC/C3Y/Hs7rV9+3Y2bdpEUVHRsnHY4eFhjh07xsmTJ7l06RKdnZ0Rl343OjrKiRMnGBkZCdgIIBI2FI92tFothYWF7N69m/r6ejZu3Lhgifi5eCbLjx496t0ydmhoKEQWBx7lAG5DCIFer/dO4l6+fJnW1lbv5F1FRQVFRUVUV1ff4QCEEOTk5LB9+3ZKSkpwuVw0NTXR2dkZ9UPF25mYmKCxsZH333+fGzdueDdrWSmeCV69Xk9BQQHbt2/nwQcfpLCwEKPROC//2rMD29zP6e3t5dSpU7z33nt0dnYyNTUVcQ5gfHycxsZGrl27FrCNYZxOJ1NTUzE5ugwVGo2GvLw8du7cyb333ktWVtayobG5Of+HDh3yppFHK8oB3EZSUhJr1qxhzZo1d9RQASgpKZm3Kfnt6PV60tPTcTgcC4aJYgWXy8XExARDQ0N+5T178uHLysrYvHkzGzdupKCg4I6yu54slevXr9Pb2+tdadzR0UFjYyNdXV2MjIz485WChkeriYmJcJuiuA2DwUBGRsaKNjdyOByMjo4yNDQUjYse5xGbvZMfeHL677//fsxm8x2PJycnU1RUtKBziCcCNaIxGo1s3LiRhx9+mJqamkW19ZScOHz4MCdPnvR2ppOTk3R1dUVtFoZCEU7i2gF4yhzP3bO1qKiImpoadu7cSXFx8R2v8dQHWmxpuM1mY3x8nK6urqgoBxsuPKUKioqK2LRpE9u3b2fDhg3odLp52jqdTiYnJxkZGaG5uZnTp0/z6aefeq+8POULIi3so4gtPO1weHiY3t5eJicnYyKsG9cOIDMzk/r6eqqqqrybYnv2AMjKylpxjranwNyZM2e8hdGGhoZioqEEEk/stb6+nrq6Ourr68nLy1tQ78nJSS5evMi5c+e4ePGit0SBcqyKUDIxMeGtjnrhwgVu3boVbQUPFyRuHIAQAo1GM28FZE5ODp/73OfYv3+/tx7L3DK8K8HtdmO3272F0X73u9/R19e34MYosYBHT0+xuJWg1+spLi7m3nvv5Z577iE/P3/RjWbGx8e5cOECb775Ji0tLYyNjanOX+E3c9uuL9ubjo+Pc/78ed544w2uXbvG6OhoTLTDuHAAntr+BQUFmEwmb+dVXl5OTU0NFRUVKy65OxebzUZfXx9dXV2cPn2ay5cvc+PGjZiOSyckJFBSUkJ9ff2CcyVLodfrqampYePGjd6SxYvhcrkYGRmho6OD7u5uf81WKEhMTCQ/P5/CwkI2bNhAZmbmstlZTqeT4eFh2tvbY6odxoUD8Ozu5Sn05FnsYTKZFl0WvxLGx8c5c+YMH3/8sTfdLxauDpYiIyODhoYGcnNzV+zoNBoNOTk5lJeXr7oUgkKxWtLT02loaGD37t3ei5B4Xekfcw7AU9MjMTHRu+m1wWCgvLycnTt3snv3bu8Vp2fj7NX++Ha7HavVSldXFxcuXODDDz/kxo0b2O32mIgPLkVSUhLr169n7dq1K1556xmB3V5wy+VyYbVa521CbrFYvLuvKRSrZW6/4Clxft9991FcXOztK+KRmPvWnvjyhg0byMvL827yUFlZSUVFhbeipL84HA66urq4cuUKjY2NnDt3jr6+vpgO+8zF04EHsi7P6OgoTU1N3Lx501tWd2hoiKamprjRVREc5vYLmzZtora2lry8vJAXOow0Ys4BGAwG1q1bx2OPPUZNTY03ZTMlJYWcnJyADfUcDgfXr1/nnXfe4cSJEzE94RsqLBYLx44d4/Dhw97l9Z5Ne5S2Cn+Y2y9s27aN3NzcuO/8IcodgE6nIy0tDZPJ5L0STU1NZfPmzd79VD1DO39qyLtcLsbGxhgeHvYuvZ+amuLSpUucP3+epqammI/5BxIpJVarFYvFwsTEhDfc09LS4k35nFtfRaXRKvxFq9ViMpmorKxkw4YNS14IegoMzt3WsbOzk/7+/pgL7Ua1A0hKSmLz5s3s3LmT/Px8YMbTr127loKCAu8cgL94agIdP36c7u5upJTY7Xba29vp6upS8ekV4na76erq4tixY1y5csXrVIeGhmhsbGRqakp1+oqgIIRYtk8YGBjg+PHjXLx40bvgcGxsjKampqgv/XA7UeMAPEXD5ubtZmZmsnnzZh588EHWrVsH/Fds2rNX70qRUno3h/F07BaLhaamJt5//32uXr3qfZ7NZovZCUrPZheegmOryfdf6D09O1m1t7fzySef8PHHH3vj+3M/T6EIFyMjI5w5c4Z3333XOxJ1uVxMTU1FdeG3hYgaB+Ap0ja3VozJZGLLli2sXbt2xbnoi2G1Wuno6KC9vd3bMY2OjnL27Flu3LhBT09PQD4n0vFsd3f8+HEmJiYoLS3FbDb7lbbp0fb69eucOXOGq1ev0tXVFXMnlSJy8WVk6XK5GB0dpa+vLyD7N0QyUeMAMjIy2L59O/feey85OTnAzGIks9ns1yKu2/HUuT98+DC9vb3AzERkT09PIDfJjngmJye5cOECFouF5uZmHnroIUwmk18OwKPtBx98wJUrV+jo6FBzJ4qQEoT9pKOaqHEARqORsrIyduzYQVFREfBfhdlWW2Pd4XAwMTExr7BTR0cHFy5c4OjRo3R2dgIzVw0ulysmQz2LYbfb6ezspLe3F6vV6t0xyWQyrfo9PdoeO3aMjo4OnE5nROzepVDEK1HjAGAm6ychIWHZbdt8ZXh4mHPnztHc3OzNO7dYLN4slHiPRXucXm9vL0ePHmVkZMRbNG81eLS1WCzqyl8RFlRywXyiygF4yv4G6kq8v7+fTz/91LuzD8zU/BgbG4u52X5/GBwc5OjRo1y4cMGnwlmLobQNP4udQ56kh1jvIN1uN06nc8lQkMvlipuRadQ4AJvNRkdHB+fPnw9YMabW1lYaGxtpbm6O2N2kIgGbzUZ/fz/9/f3hNkXhB1NTU9y8eZOzZ8/esfet0+nkypUrDA0NxWSo0+VyeVeVezIKF6O1tTUmc/4XImocwMjIiHfFbaBW8HkmOFUWiiIesFgsfPLJJ3R0dNxRANHtdjMwMEBra2tMhudsNhstLS38+te/5ujRo0uOZOOpXxCRMOQTQixrhEajwWAwYDAY/ApDzMXlcmGz2XA4HNEw9D0jpbxrpS/yRVvF6rSF6NLXs0bGYDAsGAJxOp3e8yHARETb9fQfy61niYd+wUPUjADcbjfT09NxPzGrUKwWt9uN1WqNiyvbhbDb7TE5uvGHwFxKKxQKhSLqWNYBCCF+LoToF0I0zjmWKYQ4JIRonf1rmj0uhBD/LIS4JoS4KISoD6bx8YbSN3gobYOL0jYy8WUE8BJw4LZjLwAfSikrgA9n/wf4AlAxe3sW+H8DY6ZiFqVv8FDaBo90lLYRybIOQEp5BLDcdvgx4OXZ+y8Dj885/u9yhhNAhhAiMEV6FKD0DSZK2+CRgdI2IlntHECelNJTFa0XyJu9Xwh0zHle5+yxOxBCPCuEOC2EOL1KG+IRn/RV2q4K1XaDhx6lbUTidxaQlFKuJl1LSvki8CKAEGIcaPbXlijGwMzw+PLs/3XA+TmPbwHWMONsl+U2bQeASSB+KtnNZzlt64D1+KgtqLY7B1+07QR8vtpX2q6Y9f68eLUOoE8IYZZS9swO5TxLRLuA4jnPK5o9thzN/uSyRjtCiFLgNx4NhBDNwCNz9L0hpcwRQvyUFeo7+7rT8aqvD9p+BIyj2u6KWYG2B1HaBgV/R0qrDQG9DXxt9v7XgLfmHP+j2YyKHcDonFCRwndu13dkznGlr3+oths8lLbRhpRyyRvwKtADOJgZzv0JkMVM9k8rcBjInH2uAH4CtAGXgLuWe//Z15325XmxePNR33NK36BpmwmcVtoqbaPx5q9GkVIK4lk5E/tTLIC/+ih9l8YffZS2S6O0DS5+9w2R4AAUCoVCEXpUKQiFQqGIU5QDUCgUijgl7A5ACHFACNE8WyfkheVfEXsEq96S0nYGpW/wUNoGj2BpO48wz2BrmckMKGNmUckFoDrcM+th0GEPUA80zjn298ALs/dfAP7X7P0HgfeZyazYAXymtFX6Km1j7xYMbW+/hXsE0ABck1Jel1LagdeYqckSV8jg1FtS2s6i9A0eStvgESRt5xFuB+Bz/ZU4xN96S0rbpVH6Bg+lbfDwuw7bXMLtABQ+IGfGeCpfN0gofYOH0jZ4BELbcDuA1dZfiQf6PEO4VdZbUtoujdI3eChtg4e/2s4j3A7gFFAhhFgrhDAATzJTN0Thf10Vpe3SKH2Dh9I2eAS23lIEzHQ/CLQwM+v/vXDbEyYNglJvSWmr9FXaRu8tWNrOvalSEAqFQhGnhDsEpFAoFIowoRyAQqFQxCnKASgUCkWcohyAQqFQxCnKASgUCkWcohyAQqFQxCnKASgUCkWc8v8DESHwvtJTLVQAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.c_transforms as c_trans\n",
    "\n",
    "DATA_DIR = \"./datasets/MNIST_Data/train/\"\n",
    "\n",
    "dataset1 = ds.MnistDataset(DATA_DIR, num_samples=4, shuffle=False)\n",
    "\n",
    "resize = c_trans.Resize(size=[101, 101])\n",
    "dataset2 = dataset1.map(operations=resize, input_columns=[\"image\"])\n",
    "\n",
    "image_list1, label_list1 = [], []\n",
    "image_list2, label_list2 = [], []\n",
    "for data1, data2 in zip(dataset1.create_dict_iterator(), dataset2.create_dict_iterator()):\n",
    "    image_list1.append(data1['image'])\n",
    "    label_list1.append(data1['label'])\n",
    "    print(\"Source image Shape :\", data1['image'].shape, \", Source label :\", data1['label'])\n",
    "    image_list2.append(data2['image'])\n",
    "    label_list2.append(data2['label'])\n",
    "    print(\"Flipped image Shape:\", data2['image'].shape, \", Flipped label:\", data2['label'])\n",
    "    print(\"------\")\n",
    "\n",
    "num_samples = len(image_list1) + len(image_list2)\n",
    "for i in range(num_samples):\n",
    "    if i < len(image_list1):\n",
    "        plt.subplot(2, len(image_list1), i + 1)\n",
    "        plt.imshow(image_list1[i].asnumpy().squeeze(), cmap=plt.cm.gray)\n",
    "        plt.title(label_list1[i].asnumpy())\n",
    "    else:\n",
    "        plt.subplot(2, len(image_list2), i + 1)\n",
    "        plt.imshow(image_list2[i % len(image_list2)].asnumpy().squeeze(), cmap=plt.cm.gray)\n",
    "        plt.title(label_list2[i % len(image_list2)].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Invert\n",
    "\n",
    "对输入图像进行反相处理。\n",
    "\n",
    "下面的样例首先加载CIFAR-10数据集[1]，然后同时定义缩放和反相操作并作用于已加载的图片，最后输出缩放与反相前后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "依照上文步骤下载CIFAR-10数据集并按要求存放。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Source image Shape : (32, 32, 3) , Source label : 7\n",
      "Flipped image Shape: (101, 101, 3) , Flipped label: 7\n",
      "------\n",
      "Source image Shape : (32, 32, 3) , Source label : 0\n",
      "Flipped image Shape: (101, 101, 3) , Flipped label: 0\n",
      "------\n",
      "Source image Shape : (32, 32, 3) , Source label : 2\n",
      "Flipped image Shape: (101, 101, 3) , Flipped label: 2\n",
      "------\n",
      "Source image Shape : (32, 32, 3) , Source label : 1\n",
      "Flipped image Shape: (101, 101, 3) , Flipped label: 1\n",
      "------\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.c_transforms as c_trans\n",
    "\n",
    "ds.config.set_seed(8)\n",
    "\n",
    "DATA_DIR = \"./datasets/cifar10/train/\"\n",
    "\n",
    "dataset1 = ds.Cifar10Dataset(DATA_DIR, num_samples=4, shuffle=True)\n",
    "\n",
    "resize = c_trans.Resize(size=[101, 101])\n",
    "invert = c_trans.Invert()\n",
    "dataset2 = dataset1.map(operations=[resize, invert], input_columns=[\"image\"])\n",
    "\n",
    "image_list1, label_list1 = [], []\n",
    "image_list2, label_list2 = [], []\n",
    "for data1, data2 in zip(dataset1.create_dict_iterator(), dataset2.create_dict_iterator()):\n",
    "    image_list1.append(data1['image'])\n",
    "    label_list1.append(data1['label'])\n",
    "    print(\"Source image Shape :\", data1['image'].shape, \", Source label :\", data1['label'])\n",
    "    image_list2.append(data2['image'])\n",
    "    label_list2.append(data2['label'])\n",
    "    print(\"Flipped image Shape:\", data2['image'].shape, \", Flipped label:\", data2['label'])\n",
    "    print(\"------\")\n",
    "\n",
    "num_samples = len(image_list1) + len(image_list2)\n",
    "for i in range(num_samples):\n",
    "    if i < len(image_list1):\n",
    "        plt.subplot(2, len(image_list1), i + 1)\n",
    "        plt.imshow(image_list1[i].asnumpy().squeeze(), cmap=plt.cm.gray)\n",
    "        plt.title(label_list1[i].asnumpy())\n",
    "    else:\n",
    "        plt.subplot(2, len(image_list2), i + 1)\n",
    "        plt.imshow(image_list2[i % len(image_list2)].asnumpy().squeeze(), cmap=plt.cm.gray)\n",
    "        plt.title(label_list2[i % len(image_list2)].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## py_transforms\n",
    "\n",
    "下面将简要介绍几种常用的`py_transforms`模块数据增强算子的使用方法。\n",
    "\n",
    "### Compose\n",
    "\n",
    "接收一个`transforms`列表，将列表中的数据增强操作依次作用于数据集图片。\n",
    "\n",
    "下面的样例首先加载CIFAR-10数据集[1]，然后同时定义解码、缩放和数据类型转换操作，并作用于已加载的图片，最后输出处理后的图片形状及对应标签，并对图片进行了展示。\n",
    "\n",
    "依照上文步骤下载CIFAR-10数据集并按要求存放。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Transformed image Shape: (3, 200, 200) , Transformed label: 7\n",
      "Transformed image Shape: (3, 200, 200) , Transformed label: 0\n",
      "Transformed image Shape: (3, 200, 200) , Transformed label: 2\n",
      "Transformed image Shape: (3, 200, 200) , Transformed label: 1\n",
      "Transformed image Shape: (3, 200, 200) , Transformed label: 6\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import mindspore.dataset as ds\n",
    "import mindspore.dataset.vision.py_transforms as py_trans\n",
    "from mindspore.dataset.transforms.py_transforms import Compose\n",
    "from PIL import Image\n",
    "\n",
    "ds.config.set_seed(8)\n",
    "\n",
    "DATA_DIR = \"./datasets/cifar10/train/\"\n",
    "\n",
    "dataset1 = ds.Cifar10Dataset(DATA_DIR, num_samples=5, shuffle=True)\n",
    "\n",
    "def decode(image):\n",
    "    return Image.fromarray(image)\n",
    "\n",
    "transforms_list = [\n",
    "  decode,\n",
    "  py_trans.Resize(size=(200,200)),\n",
    "  py_trans.ToTensor()\n",
    "]\n",
    "compose_trans = Compose(transforms_list)\n",
    "dataset2 = dataset1.map(operations=compose_trans, input_columns=[\"image\"])\n",
    "\n",
    "image_list, label_list = [], []\n",
    "for data in dataset2.create_dict_iterator():\n",
    "    image_list.append(data['image'])\n",
    "    label_list.append(data['label'])\n",
    "    print(\"Transformed image Shape:\", data['image'].shape, \", Transformed label:\", data['label'])\n",
    "\n",
    "num_samples = len(image_list)\n",
    "for i in range(num_samples):\n",
    "    plt.subplot(1, len(image_list), i + 1)\n",
    "    plt.imshow(image_list[i].asnumpy().transpose(1, 2, 0))\n",
    "    plt.title(label_list[i].asnumpy())\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用说明\n",
    "\n",
    "请勿混用`c_transforms`与`py_transforms`，因为两者作用于图片的格式不同，混用会降低处理性能。\n",
    "\n",
    "![map](https://gitee.com/mindspore/docs/raw/master/docs/programming_guide/source_zh_cn/images/map.png)\n",
    "\n",
    "混用会引发C++与Python切换的成本，建议不要过度混用两个模块的算子，但是适量混用是可以接受的。\n",
    "\n",
    "**推荐的使用方式：**\n",
    "\n",
    "- 单独使用`py_transform`或`c_transform`\n",
    "\n",
    "    ![tranform_c_py](https://gitee.com/mindspore/docs/raw/master/docs/programming_guide/source_zh_cn/images/transform_recommended_1.png)\n",
    "\n",
    "- 先使用`py_transform`，再使用`c_transform`\n",
    "\n",
    "    ![tranform_c_py](https://gitee.com/mindspore/docs/raw/master/docs/programming_guide/source_zh_cn/images/transform_recommended_2.png)\n",
    "\n",
    "- 先使用`c_transform`，再使用`py_transform`\n",
    "\n",
    "    ![tranform_c_py](https://gitee.com/mindspore/docs/raw/master/docs/programming_guide/source_zh_cn/images/transform_recommended_3.png)\n",
    "\n",
    "**不推荐的使用方式：**\n",
    "\n",
    "- 在两种transform之间频繁切换\n",
    "\n",
    "    ![tranform_c_py](https://gitee.com/mindspore/docs/raw/master/docs/programming_guide/source_zh_cn/images/transform_not_recommended.png)\n",
    "\n",
    "## 参考文献\n",
    "\n",
    "[1] Alex Krizhevsky. [Learning Multiple Layers of Features from Tiny Images](http://www.cs.toronto.edu/~kriz/learning-features-2009-TR.pdf).\n",
    "\n",
    "[2] Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. [Gradient-based learning applied to document recognition](http://yann.lecun.com/exdb/publis/pdf/lecun-98.pdf).\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "MindSpore-1.0.1",
   "language": "python",
   "name": "mindspore-1.0.1"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
